Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Mingchao Geng ; Inst. of Digital Media, Peking Univ., Beijing, China ; Xianguo Zhang ; Yonghong Tian ; Luhong Liang
more authors

Low-complexity and high-performance surveillance video Transcoding methods play an important role for a wide range of surveillance video transmission and storage applications. Towards this end, the special characteristics of surveillance video should be utilized for Transcoding. In this paper, we propose a fast and performance-maintained Transcoding method. This method firstly divides macro blocks (MBs) into foreground MBs, foreground border MBs and background MBs. Statistics show that the three categories have different distributions of prediction modes, motion vectors and reference frames. Following this, we adopt different Transco ding strategies in terms of removing the redundant prediction modes, narrowing motion search range and reducing reference frames. In particular, we propose an algorithm to exploit the decoded motion vector to adaptively calculate motion search range. Experimental results show that, compared with the recent background modeling based full-decoding-full-encoding, our Transcoding method saves more than 93% time with ignorable quality loss.

Published in:

Multimedia and Expo (ICME), 2012 IEEE International Conference on

Date of Conference:

9-13 July 2012